The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. Efficient image recognition software would lead to technological advances in many areas, from effective security to intelligent information retrieval. We propose a system that can classify new images on the basis of information learnt from a training set of previously annotated images.
Image annotation with Presence-Vector Classifiers
Giuseppe Amato
2004
Abstract
The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. Efficient image recognition software would lead to technological advances in many areas, from effective security to intelligent information retrieval. We propose a system that can classify new images on the basis of information learnt from a training set of previously annotated images.File in questo prodotto:
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